Semantic analysis of alarm response entries for plant health monitoring

Matthew Asher

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

93 Downloads (Pure)

Abstract

In most health monitoring systems, there is always a final step in the process that involves the human response, and in many cases the engineer may decide that it is a false alarm. While everything is done to eliminate false alarms, understanding why the human has decided to ignore an alarm is imperative, and what that means for improving the performance of the alarming sensors. Here we deconstruct the manual reporting log of alarm responses for an in-situ health monitoring system for a series of identical plant equipment in a power station, by applying regular expressions to categorise the response. We can show how often certain types of event occur, but also compare the data at times when a user changed the alarm limits manually to see what was happening in the sensor array.
Original languageEnglish
Title of host publication8th European Workshop On Structural Health Monitoring (EWSHM 2016)
Subtitle of host publicationProceedings of a meeting held 5-8 July 2016, Bilbao, Spain
PublisherNDT.net
Pages783-790
Number of pages8
Volume1
ISBN (Print)9781510827936
Publication statusPublished - Aug 2016

Publication series

NameDatabase of Nondestructive Testing (NDT)
PublisherNDT.net
ISSN (Print)1435-4934

Keywords

  • Semantic Analysis
  • CMS
  • Intelligent Systems
  • Industrial applications

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